Palmyra X 002
palmyra-x-002
Last refreshed 2026-04-15. Next refresh: weekly.
Palmyra X 002 is worth evaluating for general LLM work when its provider route and context window match the workload.
Decision context: Coding task fit, 1 tracked provider route, and research from 2026-01-01.
Use it for
- Teams evaluating general LLM work
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
$2.00
Writer AI Studio per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Writer AI Studio | $1.00 | $2.00 | Serverless |
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
The Palmyra X 002, crafted by Writer, stands as a proprietary large language model with an undisclosed architecture. Although specifics about its context and response lengths remain hidden, it is noted for its pricing strategy: $1.00 per million input tokens and $2.00 per million output tokens. While detailed performance metrics are scarce, it is recognized for being more cost-effective than models like GPT-4 and is notably 66.7% less expensive than Yi-Large. However, it is priced 300% higher than Mistral 7B Instruct and 11.1% more expensive than Llama 3.1 70b. Despite these cost comparisons, the model's full performance capabilities and architectural details remain largely unexplored.
Palmyra X 002 input tokens at $1/1M, output at $2/1M.
Capabilities
No model capability flags are currently sourced.
